Merge (Unified Integration API) MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Merge (Unified Integration API) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"merge-unified-integration-api": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Merge (Unified Integration API), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Merge (Unified Integration API) MCP Server
Connect your Merge.dev account to any AI agent and take full control of your unified B2B integrations across HRIS, ATS, CRM, and Ticketing through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Merge (Unified Integration API) through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- HRIS Orchestration — List all active employees and organizational companies from your connected HRIS (e.g., BambooHR, Workday, HiBob) directly from your agent
- ATS Talent Pipeline — Retrieve recruited candidates and tracked job applications from your ATS integration (e.g., Greenhouse, Lever, Ashby) to monitor hiring workflows
- CRM Contact Management — Access external sales contacts and customer accounts from your CRM (e.g., Salesforce, HubSpot, Pipedrive) to manage your business directory securely
- Ticketing & Support — List inbound and outbound support tickets from your issue-tracking boards (e.g., Zendesk, Jira, Front) to stay updated on customer issues
- Unified Data Access — Retrieve standardized data structures across hundreds of different integrations using a single set of API tools natively handled by Merge
- Integration Audit — Inspect linked account details and meta-configurations to understand the current state and boundaries of your connected workspace securely
The Merge (Unified Integration API) MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Merge (Unified Integration API) to LangChain via MCP
Follow these steps to integrate the Merge (Unified Integration API) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Merge (Unified Integration API) via MCP
Why Use LangChain with the Merge (Unified Integration API) MCP Server
LangChain provides unique advantages when paired with Merge (Unified Integration API) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Merge (Unified Integration API) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Merge (Unified Integration API) queries for multi-turn workflows
Merge (Unified Integration API) + LangChain Use Cases
Practical scenarios where LangChain combined with the Merge (Unified Integration API) MCP Server delivers measurable value.
RAG with live data: combine Merge (Unified Integration API) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Merge (Unified Integration API), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Merge (Unified Integration API) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Merge (Unified Integration API) tool call, measure latency, and optimize your agent's performance
Merge (Unified Integration API) MCP Tools for LangChain (8)
These 8 tools become available when you connect Merge (Unified Integration API) to LangChain via MCP:
get_account_details
dev. Retrieve linked Account Details exposing integration boundaries
list_accounts
List customer accounts parsed from the CRM integration
list_applications
List job applications inside the ATS integration
list_candidates
List recruited candidates across the ATS integration
list_companies
List companies mapped inside the HRIS integration
list_contacts
List external contacts mapped in the CRM integration
list_employees
Be aware the list might be paginated or heavy. List employees from the linked HRIS integration
list_tickets
List inbound/outbound support tickets inside the Ticketing integration
Example Prompts for Merge (Unified Integration API) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Merge (Unified Integration API) immediately.
"List all active employees from our linked HRIS"
"Show me the last 5 candidates in our ATS talent pipeline"
"List all open support tickets in our ticketing integration"
Troubleshooting Merge (Unified Integration API) MCP Server with LangChain
Common issues when connecting Merge (Unified Integration API) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMerge (Unified Integration API) + LangChain FAQ
Common questions about integrating Merge (Unified Integration API) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Merge (Unified Integration API) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Merge (Unified Integration API) to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
